Associate Principal Computational Biologist, Neuroscience

Impact You’ll Make As a key member of Recursion's partnership-facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion’s massive data and compute capabilities. As a senior computational biologist, you will be supporting a portfolio of partnership pre‑clinical drug programs and be responsible for designing and executing analyses to support target nomination, validation, and early programs in neuroscience diseases. You will integrate layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc) to validate the link between target and disease biology and to propose targets and early programs in novel areas of neuroscience. You will partner with biologists and medicinal chemists to build supporting data packets for targets from our phenomic maps, target screens, and partnered patient data sets. You will also collaborate with computational scientists from across the organization to develop, deploy, and scale novel approaches to: translational validation in hit to lead, mechanism‑of‑action identification/de‑risking, and build evidence for patient connectivity to match the targets we are validating and medicines we are creating to the patients who need them. In This Role, You Will Deliver biological insights on therapeutic candidates and disease biology from the analysis of high‑dimensional datasets that support clinical development planning Evaluate the biological and molecular evidence for therapeutic hypotheses and accelerate drug program progression into the clinic Synthesize diverse datasets (internal and external) to generate and evaluate hypotheses for drug discovery, biomarker development, mechanism of action and target population identification Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients Assess new data sources, develop and scale new analysis methods, and support key program decisions with the ultimate goal of bringing life‑changing therapies to patients at unprecedented speed Industrialize analysis approaches to not only solve for the current project, but also to accelerate future projects and scale the impact that we can have Collaborate cross‑functionally with Recursion’s data science, biology, medicinal chemistry, and platform teams to further advance Recursion’s ability to interpret and translate large‑scale data assets into therapeutic programs The Team You’ll Join Our group is a bold, agile, diverse collective of computational drug discovery scientists and data scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. We partner closely with biologists and medicinal chemists to design and execute impactful and decisional data analysis for multiple programs, and we collaborate extensively with other therapeutic areas and core platform teams. The Experience You’ll Need PhD in a relevant field (computational biology, systems biology, bioinformatics, neuroscience, etc.) with a very strong computational focus and 5+ years of experience in biotech or pharma industry OR MS in a relevant field Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate matched human clinical and molecular data in a high‑level programming language such as Python or R Deep expertise in the analysis and data integration of one or more ‘omics data modalities (phenomics, transcriptomics, proteomics, genomics) and/or human clinical data Exceptional data visualization skills Excellent cross‑functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations Nice To Have Strong understanding of patient genetics and historical druggability of disease‑relevant pathways, including experience working with patient data Experience in efficiently advancing drug programs from proof of concept and into clinical development Experience with neuroscience clinical trial biomarker analysis Experience working as part of partnerships or client‑facing (consulting) teams Working Location & Compensation This is an office‑based, hybrid role in either our Salt Lake City or New York City offices. Employees are expected to work in the office at least 50% of the time. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 to $253,100. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect—showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross‑functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. #J-18808-Ljbffr